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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
'5
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'25

Papers (including subtopics)

Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond NeurIPS 2023 Feature Programming for Multivariate Time Series Prediction ICML 2023 Feature Selection in the Contrastive Analysis Setting NeurIPS 2023 Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers CVPR 2023 FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning NeurIPS 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023 Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023 Federated learning of models pre-trained on different features with consensus graphs UAI 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023 Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation IJCAI 2023 Federated Spectral Clustering via Secure Similarity Reconstruction NeurIPS 2023 FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks IJCAI 2023 FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces AAAI 2023 FedPD: Federated Open Set Recognition with Parameter Disentanglement ICCV 2023 FerKD: Surgical Label Adaptation for Efficient Distillation ICCV 2023 FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning WACV 2023 Few-Sample Feature Selection via Feature Manifold Learning ICML 2023 Few-shot Classification via Ensemble Learning with Multi-Order Statistics IJCAI 2023 Few-shot Classification with Hypersphere Modeling of Prototypes ACL 2023 Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes Interspeech 2023 Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration NeurIPS 2023 Few-shot Continual Infomax Learning ICCV 2023 Few-shot Event Detection: An Empirical Study and a Unified View ACL 2023 Few Shot Font Generation Via Transferring Similarity Guided Global Style and Quantization Local Style ICCV 2023